Elevation Dependent Management of the Edwards Aquifer: Linked Mathematical and Dynamic Programming Approach
Publication: Journal of Water Resources Planning and Management
Volume 132, Issue 5
Abstract
This study addresses the dynamic issue of optimum pumping and optimum target ending aquifer elevation. A stochastic dynamic programming (DP) approach is used to address this optimal elevation question. The analytical approach relies on the generation of stochastic state transition information from a stochastic nonlinear, static programming model of the aquifer. Methodologically, the model linkage allowed us to handle a large number of potential state variables by collapsing them into a simple ending elevation state variable in the DP.
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Acknowledgments
This research was partially supported by the Texas Agricultural Experiment Statun, Texas Water Resources Institute, State of Texas Advanced Technology Program, and California State University–Fresno. Seniority of authorship is shared.
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Information & Authors
Information
Published In
Journal of Water Resources Planning and Management
Volume 132 • Issue 5 • September 2006
Pages: 330 - 340
Copyright
© 2006 ASCE.
History
Received: Jul 26, 2004
Accepted: Nov 12, 2004
Published online: Sep 1, 2006
Published in print: Sep 2006
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